ABSTRACT In the petrochemical industry, improvements in the technology and in production processes over the last few decades have led to a reduction in accidents. However, the resulting processes …
MANAGING THE INVISIBLE OBVIOUS: THE ENTANGLEMENT OF INNOVATION, STRATEGY, AND ORGANIZING
ABSTRACT The production environments of today are not the same as the production environments of yesterday. The intensification of globalization and increase in market turbulence over the past …
MARKETS AS AN INFORMATION AGGREGATION MECHANISM FOR DECISION SUPPORT
Abstract In almost all walks of life, predicting uncertain future events plays an essential role in decision-making processes. However, information related to future events frequently exists only …
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MASHUPS FOR THE WEB-ACTIVE END USER
ABSTRACT Mashups are essentially combinations of APIs and online data in a single interface. However, to be able to take advantage of these systems, users must have the prerequisite …
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MEASURING THE EFFECTIVENESS OF VISUAL ANALYTICS AND DATA FUSION TECHNIQUES ON SITUATION AWARENESS IN CYBER-SECURITY
ABSTRACT Cyber-security involves the monitoring a complex network of inter-related computers to prevent, identify and remediate from undesired actions. This work is performed in organizations by …
META-COORDINATION ACTIVITIES: EXPLORING ARTICULATION WORK IN HOSPITALS
ABSTRACT Coordination of distributed activities is central to organizational work. The effective functioning of organizations hinges on their ability to manage interdependencies both within …
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MINING FEEDBACK IN RANKING AND RECOMMENDATION SYSTEMS
ABSTRACT The amount of online information has grown exponentially over the past few decades, and users become more and more dependent on ranking and recommendation systems to address their …
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MINING HETEROGENEOUS DATA FOR SEMANTIC UNDERSTANDING OF MOBILITY DATA
ABSTRACT With the prevalence of positioning technology, an increasing amount of human mobility data becomes available nowadays, including geotagged social media data, location records collected by …
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MINING TEXTS AND SOCIAL USERS USING TIME SERIES AND LATENT TOPICS
ABSTRACT Knowledge discovery has received tremendous interests and fast developments in both text mining and social user mining. The main purpose is to search massive volumes of data for patterns …
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MINING USER-GENERATED CONTENTS ON THE WEB AND SOCIAL NETWORKS
Abstract In solving diverse data management problems, underlying social network between users and semantics hidden deep in User-generated Contents (UGC) can be useful from many perspectives. …
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MODELING AND EVALUATING THE SURVIVABILITY OF AN INTRUSION TOLERANT DATABASE SYSTEM
Abstract The immaturity of current intrusion detection techniques limits the traditional security systems in surviving malicious attacks. Intrusion tolerance approaches have emerged to overcome …
MODELING PHOTOGRAPHIC COMPOSITION VIA TRIANGLES
Abstract Modeling photographic composition is important to many real-world applications such as digital photography, image retrieval, image understanding, and image aesthetics assessment. The …
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